... present a novel model of transliteration min-
ing defined as a mixture of a transliteration model
and a non-transliteration model. The transliteration
model is a joint source channel model (Li et ... labelled information for training. Our sys-
tem extracts transliteration pairs in an unsupervised
fashion. It is also able to utilize labelled information
if available, obtaining improv...
... University) for excellent technical
assistance. This work was supported by grants from
the Swedish Foundation for Health Care Sciences and
Allergy Research, the Swedish Research Council for
Medicine ... the fate of an aller-
gen upon inhalation, we addressed this issue for a major dust mite allergen,
Der p 2. First, a model for Der p 2-sensitization was established in
C57BL ⁄ 6 J...
... incu-
bated for 4 days with each of the peptides (10 lm), and
cells were fixed and used for immunocytochemical analyses.
Immunocytochemistry
Neurons were fixed in 4% paraformaldehyde for 20 min
at ... to transformed Ca
2+
-competent E. coli
cells (ER2566) by heat shock. The transformed cells were
spread on LB agar plates containing ampicillin
(50 mgÆL
)1
), single colonies were picked fo...
... relation exists for the apparent
K
m
for Phser and cysteine concentration (Eqn 3), the
situation is not symmetrical from a quantitative point of
view for two reasons: firstly, the maximal K
m
for cysteine
is ... Verne for the
ELISA assays. We thank Pr. Roland Douce and Dr Michel Matringe
and Mickae
¨
la Hoffman for critical reading of the manuscript. Special
thanks to Maighread Gall...
... all models, and for the LM
we use an interpolated Kneser-Ney 5-gram model.
For GIZA ++, we use the standard training reg-
imen up to Model 4, and combine alignments
with grow-diag-final-and. For ... noted that forcing align-
ments smaller than the model suggests is only used
for generating alignments for use in heuristic extrac-
tion, and does not affect the training process.
5...
... to phrase-
based models which use token n-grams as trans-
lation units (Koehn et al., 2003). Although very
few researchers use word-based models for trans-
lation per se, such models are still ... proce-
dure for each sentence pair is non-trivial, prov-
ing NP-complete for learning phrase based models
(DeNero and Klein, 2008) or a high order poly-
nomial (O(|f |
3
|e|
3
))
1
for a sub...
... a considerable engineer-
ing effort, yet there is very limited avail-
ability of off-the shelf tools for researchers
whose interests are not in coreference, or for
researchers who want to concentrate ... standoff format of the
MMAX2 annotation tool (M
¨
uller and Strube, 2006)
with MiniDiscourse, a library that efficiently imple-
ments a subset of MMAX2’s functions. Using a
generic format...
... three lectures is-
used for estimating the optimal word block length
for representing nodes, the threshold distances for
discarding node edges, the number of uniform
chunks for estimating tf-idf ... did not try to ad-
just our model to optimize its performance on the
synthetic data. The smoothing method developed
for lecture segmentation may not be appropriate
for short segments...
... allows that use of future information in ad-
dition to past information. The pipeline model nat-
urally allows access to all the past information.
Algorithm 3 Pseudo code for the look ahead algo-
rithm. ... pro-
cesses a token and, potentially, makes use of this
result when processing the token to the right.
The pipeline model is a standard model of
computation in natural language pro...
... general information about
the system’s components, a description and time-
stamp for each system event and user event, names
and timestamps for the system-recorded sound
files, and timestamps for ... Open-ended tasks prompted users to
search for any type of information with any input
modality. The tasks in the two sets paralleled each
other. For example, if one set of tasks as...